Case Study: a multi-hospital health system reduces readmissions by 19% with Zymr's population health lakehouse

a multi-hospital health system reduces 30-day readmissions by 19% with Zymr

A multi-hospital health system faced significant challenges in managing population health due to fragmented data across claims, clinical systems, pharmacy records, and social determinants. This data siloing limited their ability to effectively identify care gaps and stratify patient risk, hindering their analytics and reporting capabilities. To overcome this, the organization partnered with Zymr to implement a modern lakehouse platform.

Zymr designed and built a unified population health lakehouse architecture that integrated diverse data sources. This solution enabled advanced analytics and machine learning, including the development of readmission prediction models. As a result, the health system achieved a 19% reduction in 30-day readmissions within 12 months, improved the accuracy of its risk stratification, and streamlined its value-based care reporting.